Open Access

ARTICLE

Two-Stage Optimal Dispatching of Electricity-Hydrogen-Waste Multi-Energy System with Phase Change Material Thermal Storage

Linwei Yao^1,*, Xiangning Lin^1,2, Huashen He¹, Jiahui Yang¹

1 College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, 443002, China
2 State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

* Corresponding Author: Linwei Yao. Email:

(This article belongs to the Special Issue: Integration of Hybrid Renewable Energy Systems for Sustainable Development)

Energy Engineering 2025, 122(8), 3285-3308. https://doi.org/10.32604/ee.2025.066628

Received 13 April 2025; Accepted 20 June 2025; Issue published 24 July 2025

Abstract

In order to address the synergistic optimization of energy efficiency improvement in the waste incineration power plant (WIPP) and renewable energy accommodation, an electricity-hydrogen-waste multi-energy system integrated with phase change material (PCM) thermal storage is proposed. First, a thermal energy management framework is constructed, combining PCM thermal storage with the alkaline electrolyzer (AE) waste heat recovery and the heat pump (HP), while establishing a PCM-driven waste drying system to enhance the efficiency of waste incineration power generation. Next, a flue gas treatment method based on purification-separation-storage coordination is adopted, achieving spatiotemporal decoupling between waste incineration and flue gas treatment. Subsequently, a two-stage optimal dispatching strategy for the multi-energy system is developed: the first stage establishes a day-ahead economic dispatch model with the objective of minimizing net system costs, while the second stage introduces model predictive control (MPC) to realize intraday rolling optimization. Finally, The optimal dispatching strategies under different scenarios are obtained using the Gurobi solver, followed by a comparative analysis of the optimized operational outcomes. Simulation results demonstrate that the proposed system optimizes the output and operational states of each unit, simultaneously reducing carbon trading costs while increasing electricity sales revenue. The proposed scheduling strategy demonstrates effective grid peak-shaving functionality, thereby simultaneously improving the system’s economic performance and operational flexibility while providing an innovative technical pathway for municipal solid waste (MSW) resource utilization and low-carbon transformation of energy systems.

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Keywords

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